RAGLight MCP Server
Bessouat40/RAGLight
[](https://agentrank-ai.com/tool/Bessouat40--RAGLight/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Bessouat40/RAGLight is a Python tool licensed under MIT. RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources. Topics: data-science, framework, huggingface, ollama, retrieval-augmented-generation, vector-database, artificial-intelligence, rag, lmstudio, retrieval-augmented, agentic-rag, mistral-api, mistralai, agentic-ai, agentic-workflow, openai, openai-api, mcp, mcp-tools.
Ranked #5816 out of 24846 indexed tools.
Ecosystem
Score Breakdown
672 stars → growing community
Last commit 2mo ago → moderate activity
30/52 issues closed → decent issue management
5 contributors → small team
6 dependents → few downstream users
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# RAGLight
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**RAGLight** is a lightweight and modular Python library for implementing **Retrieval-Augmented Generation (RAG)**. It enhances the capabilities of Large Language Models (LLMs) by combining document retrieval with natural language inference.
Designed for simplicity and flexibility, RAGLight provides modular components to easily integrate various LLMs, embeddings, and vector stores, making it an ideal tool for building context-aware AI solutions.
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## 📚 Table of Contents
- [Requirements](#⚠️-requirements)
- [Features](#features)
- [Import library](#import-library-🛠️)
- [Chat with Your Documents Instantly With CLI](#chat-with-your-documents-instantly-with-cli-💬)
- [Ignore Folders Feature](#ignore-folders-feature-🚫)
- [Ignore Folders in Configuration Classes](#ignore-folders-in-configuration-classes-🚫)
- [Deploy as a REST API (raglight serve)](#deploy-as-a-rest-api-raglight-serve-🌐)
- [Start the server](#start-the-server) Read full README on GitHub → Get the weekly AgentRank digest
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